%% 配置默认参数start_index=1000,len=20000% example:% start_index = 1000; len = 20000;% result = demo_default('start_index', 1000, 'len', 20000)function[result]=demo_default(varargin)%% default parametersip = inputParser;% 函数的输入解析器addParameter(ip,'start_index',1000);% 设置变量名...
function [result]=some_fun(varargin)ip = inputParser;%接下来设定默认值，还可以指定是必须参数还是可选参数等。ip.addParamValue('use_gpu', 1);%其他还有 ip.addParameter(),ip.addRequired()等函数可⽤ ...%然后将输⼊的参数进⾏处理，如果有不同于默认值的那就覆盖掉 ip.parse(varargin{:});r...
For more information, see Create and Define MATLAB Function Block Variables, Manage the Input Trigger of a MATLAB Function Block, and Manage Function Call Outputs of a MATLAB Function Block. In the Symbols pane, you can declare a block input to be a Simulink parameter instead of a port. ...
function [result]=some_fun(varargin) ip = inputParser; %接下来设定默认值,还可以指定是必须参数还是可选参数等。 ip.addParamValue('use_gpu', 1); %其他还有 ip.addParameter(),ip.addRequired()等函数可用 ... %然后将输入的参数进行处理,如果有不同于默认值的那就覆盖掉 ip.parse(varargin{:}); ...
function[result]=some_fun(varargin) ip = inputParser; %接下来设定默认值,还可以指定是必须参数还是可选参数等。 ip.addParamValue('use_gpu',1); %其他还有 ip.addParameter(),ip.addRequired()等函数可用 ... %然后将输入的参数进行处理,如果有不同于默认值的那就覆盖掉 ...
以下示例说明了“参数”字段的用法,用于为 2 级 MATLAB S-Function输入用户定义的参数。 此示例中的模型msfcndemo_limintm包含示例 S-Function msfcn_limintm.m: function msfcn_limintm(block) % Level-2 MATLAB file S-Function for limited integrator demo. ...
Simulink Functionblocks. Stateflow®functions in charts. To call functions in charts, enable theExport Chart Level FunctionsandTreat exported functions as globally visibleproperties. By default,MATLAB Functionblocks do not include the%#codegendirective, but check for errors as if it is included. Add...
For more information, see Create and Define MATLAB Function Block Variables, Manage the Input Trigger of a MATLAB Function Block, and Manage Function Call Outputs of a MATLAB Function Block. In the Symbols pane, you can declare a block input to be a Simulink parameter instead of a port. ...
function[sampEn,phi]=getSampEn(x,varargin)% getSampEn estimates the sample entropy of a univariate data sequence.%% [sampEn, phi] = getSampEn(x)%% Returns the sample entropy estimates `sampEn` and the number of% matched state vectors (`m:phi(1)`, `m+1:phi(2)`) for `m` estimated ...
通过使用自动超参数优化,找到使交叉验证损失减少五倍的超参数。 rngdefaultMdl=fitrsvm(X,Y,'OptimizeHyperparameters','auto',...'HyperparameterOptimizationOptions',struct('AcquisitionFunctionName',...'expected-improvement-plus'))%预测 fit=predict(Mdl,X)%plot(Y,fit,'.')...